Title: Resource-demand sites planning using a charged particles optimisation algorithm

Authors: Ameneh Shahsavari

Addresses: Department of Industrial Management, Vali-e-Asr University, Rafsanjan, Iran

Abstract: This paper proposes an extensive model for optimal design and reconfiguration of supply networks. The possibility of including consumers' locations in optimisation is addressed and various conditions such as uncertain (fuzzy) demands and geographical factors are considered. For optimisation task a novel method based on the motion of groups of charged particles is proposed. The proposed algorithm is specialised for supply network location and planning problems in which the resource and demand nodes are modelled as particles with opposite charges.

Keywords: supply networks; supply chain planning; consumer location; swarm intelligence; charged particles; charged particle optimisation; CPO; fuzzy sets; geographical factors; fuzzy logic; resource demand; optimal design; supply chain reconfiguration; supply chain design; supply chain management; SCM; uncertain demand; uncertainty; modelling.

DOI: 10.1504/IJSOM.2016.076905

International Journal of Services and Operations Management, 2016 Vol.24 No.3, pp.363 - 378

Received: 13 Sep 2014
Accepted: 19 Oct 2014
Published online: 07 Jun 2016 *

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